COPD: pulmonary vascular volume associated with cardiac structure and function.

Area of Science:

• Cardiology
• Pulmonology
• Radiology
• Artificial Intelligence

Background:

• Early detection of cardiac dysfunction in COPD patients is crucial for preventing heart disease and improving outcomes.
• Computed Tomographic (CT) imaging offers quantitative assessment of pulmonary vasculature, serving as a surrogate for pulmonary vascular remodeling.
• This study investigates the link between lung vessel volumes and cardiac structure/function in COPD patients.

Purpose of the Study:

• To examine the relationship between lung segmental and subsegmental vessel volumes and echocardiographic measures of cardiac structure and function in COPD patients.
• To determine if AI-driven analysis of pulmonary vasculature can identify COPD patients at higher risk for cardiac impairment.

Main Methods:

• 205 COPD participants from a cardiovascular disease cohort study were analyzed.
• Artificial intelligence (AI) algorithms quantified subsegmental vessel fraction and segmental vessel volume from CT scans.
• Linear regressions and scatterplots visualized correlations between vessel volumes and echocardiographic parameters.

Main Results:

• Lower subsegmental vessel fraction and higher segmental vessel volume correlated with increased left ventricular (LV) mass, LV diastolic dysfunction, and inferior vena cava (IVC) dilatation.
• Subsegmental vessel fraction was associated with right ventricular (RV) remodeling, while segmental vessel fraction correlated with elevated pulmonary pressure.
• LV mass and right atrial pressure showed the strongest correlations with pulmonary vasculature measures.

Conclusions:

• Pulmonary vascular remodeling in COPD negatively impacts cardiac structure and function.
• AI-identified pulmonary vascular remodeling can serve as a tool for early risk stratification of cardiac impairment in COPD patients.